scholarly journals No-Regret Matching Game Algorithm for NOMA Based UAV-Assisted NB-IoT Systems

2021 ◽  
Vol 26 (1) ◽  
pp. 79-85
Author(s):  
Samar Shaker Metwaly ◽  
Ahmed. M. Abd El-Haleem ◽  
Osama El-Ghandour
Keyword(s):  
Communication Networks ◽  
Multiple Access ◽  
Learning Algorithm ◽  
Base Station ◽  
Throughput Capacity ◽  
System Capacity ◽  
Wireless Communication Networks ◽  
Total Rate ◽  
Small Base ◽  
Matching Game

NB-IoT is the standardized technology for machine type communication (MTC) in Long Term Evolution (LTE). NB-IoT can achieve IoT requirements nevertheless, it suffers a low rate and capacity. On the other hand, Unmanned aerial vehicles (UAV) and Non-Orthogonal Multiple Access (NOMA) are promising technology used to enhance the throughput, capacity, and coverage of wireless communication networks. In this paper, we propose a heterogeneous network scenario where a UAV small Base Station (UBS) is used to assist the LTE Macro Base Station (MBS) with the help of the Non-Orthogonal Multiple Access technique to solve the NB-IoT throughput and capacity issues. Matching game based no-regret learning algorithm is proposed to optimize the NB-IoT device association and using NOMA pairing at each base station to provide the maximum system total rate and capacity. Simulation results show that our proposed scheme increases the total rate of the system by 60% and the system capacity by at least 80%, compared to NOMA without UAV and the total rate and capacity of the system by 200% and 85% respectively, with OMA scheme.

scholarly journals Intelligent Resource Allocation Method for Wireless Communication Networks Based on Deep Learning Techniques

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Hancheng Hui
Keyword(s):  
Resource Allocation ◽  
Communication Networks ◽  
Base Station ◽  
Resource Control ◽  
Network Throughput ◽  
Base Stations ◽  
Wireless Communication Networks ◽  
Mobile Location ◽  
Small Base ◽  
And Task

In this paper, a deep learning approach is used to conduct an in-depth study and analysis of intelligent resource allocation in wireless communication networks. Firstly, the concepts related to CSCN architecture are discussed and the throughput of small base stations (SBS) in CSCN architecture is analyzed; then, the long short-term memory network (LSTM) model is used to predict the mobile location of users, and the transmission conditions of users are scored based on two conditions, namely, the mobile location of users and whether the small base stations to which users are connected have their desired cache states, and the small base stations select the transmission. The small base station selects several users with optimal transmission conditions based on the scores; then, the concept of game theory is introduced to model the problem of maximizing network throughput as a multi-intelligent noncooperative game problem; finally, a deep augmented learning-based wireless resource allocation algorithm is proposed to enable the small base station to learn autonomously and select channel resources based on the network environment to maximize the network throughput. Simulation results show that the algorithm proposed in this paper leads to a significant improvement in network throughput compared to the traditional random-access algorithm and the algorithm proposed in the literature. In this paper, we apply it to the fine-grained resource control problem of user traffic allocation and find that the resource control technique based on the AC framework can obtain a performance very close to the local optimal solution of a matching-based proportional fair user dual connection algorithm with polynomial-level computational complexity. The resource allocation and task unloading decision policy optimization is implemented, and at the end of the training process, each intelligent body independently performs resource allocation and task unloading according to the current system state and policy. Finally, the simulation results show that the algorithm can effectively improve the quality of user experience and reduce latency and energy consumption.

scholarly journals Q-learning algorithm for resource allocation in WDMA-based optical wireless communication networks

2021 ◽  
Author(s):  
Abdelrahman S. Elgamal ◽  
Osama Z. Alsulami ◽  
Ahmad Adnan Qidan ◽  
Taisir E.H. El-Gorashi ◽  
Jaafar M. H. Elmirghani
Keyword(s):  
Resource Allocation ◽  
Wireless Communication ◽  
Communication Networks ◽  
Learning Algorithm ◽  
Wireless Communication Networks ◽  
Optical Wireless Communication ◽  
Optical Wireless ◽  
Q Learning

scholarly journals Intelligent reflected surfaces assisted code domain non-orthogonal multiple access scheme

2021 ◽  
Vol 72 (5) ◽  
pp. 343-347
Author(s):  
Aasheesh Shukla
Keyword(s):  
Communication Networks ◽  
Information Transfer ◽  
Multiple Access ◽  
Wireless Communication Networks ◽  
Radio Waves ◽  
Reflection And Refraction ◽  
Access Scheme ◽  
Code Domain ◽  
Efficient Code ◽  
Phase Amplitude

Abstract The propagation medium plays a crucial role in any wireless communication networks, the channel between the transmitter and the receiver, deteriorate the quality of the received signal due to the uncontrollable interactions such as scattering, reflection, and refraction in the channel with the surrounding objects. To overcome this challenge, the recent advent of recongurable intelligent surfaces can be helpful, in which the network operators can control the radio waves, eg, the phase, amplitude, frequency, and even polarization, of the impinging signals without the need of complex decoding, encoding, and radio frequency processing operations. On the other hand, few research papers reported an efficient code domain non orthogonal multiple access (NOMA) such as Interleave division multiple access (IDMA) system for wireless information transfer. Persuaded by the capability of this arising RIS technology, the present article is aimed to provide the modified framework of IDMA (code-domain NOMA) communication system based on RIS technology. Simulation results demonstrate that the proposed system achieves better SNR performance than the conventional IDMA framework.

Multiuser Detection schemes based on families of OMP and MUSIC algorithms for Uplink Grant free NOMA Wireless communications systems

2020 ◽  
Vol 10 ◽  
Author(s):  
Olutayo O. Oyerinde
Keyword(s):  
Communication Networks ◽  
Matching Pursuit ◽  
Base Station ◽  
Wireless Communication Networks ◽  
Multiple Measurement Vectors ◽  
Multiuser Detector ◽  
Access Scheme ◽  
Successful Recovery ◽  
Multi Access ◽  
Wireless Communications Systems

The non-orthogonal multiple access (NOMA) technology is a multi-access scheme that overcomes most of the disadvantages of its predecessor, the OMA technology. Specifically, NOMA technology supports massive connectivity of multiple users by employing the same non-orthogonal spectrum resource. In an uplink NOMA system with grant-free transmission mode, the base station (BS) is unaware of which users are active in the networks at a given time. Consequently, there is a need for mechanism to ensure successful recovery of users’ transmitted signals. This paper presents some new multiuser detector (MUD) schemes for uplink grant-free NOMA wireless communication networks with system’s model involving multiple measurement vectors (MMV) rather than the single measurement vector (SMV) that many previous works have considered. These MUDs include those that are based on differential orthogonal matching pursuit (OMP), adaptive simultaneous OMP (SOMP), compressive-multiple signal classification (MUSIC), and sequential compressive-MUSIC algorithms. The MUDs are employed in the detection of users’ signals in the uplink NOMA systems. Comparative performances of these MUDs with another one that is also based on the MMV system model, the SOMP-based MUD are presented for the scenarios when the system is under-loaded, fully loaded and over-loaded. The results suggest that the sequential compressive-MUSIC-based MUD, though shows weak performance at lower range of SNR, outperforms all the other MUDs including the SOMP-based MUD at higher SNR. Its performance is quite outstanding during the over-loaded scenarios, especially at higher SNR. However, its computational complexity is higher that the closely performing compressive-MUSIC-based MUD and SOMP-based MUD.

scholarly journals Intercell Interference Coordination through Limited Feedback

2010 ◽  
Vol 2010 ◽  
pp. 1-7 ◽  
Author(s):  
Lingjia Liu ◽  
Jianzhong (Charlie) Zhang ◽  
Jae-Chon Yu ◽  
Juho Lee
Keyword(s):  
Wireless Communication ◽  
Communication Networks ◽  
Limited Feedback ◽  
Base Station ◽  
Base Stations ◽  
System Level ◽  
Wireless Communication Networks ◽  
Interference Coordination ◽  
Average Cell ◽  
Intercell Interference

We consider the applications of multicell transmission schemes to the downlink of future wireless communication networks. A multicell multiple-input multiple output-(MIMOs) based scheme with limited coordination among neighboring base stations (BSs) is proposed to effectively combat the intercell interference by taking advantage of the degreesoffreedom in the spatial domain. In this scheme, mobile users are required to feedback channel-related information to both serving base station and interfering base station. Furthermore, a chordal distance-based compression scheme is introduced to reduce the feedback overhead. The performance of the proposed scheme is investigated through theoretical analysis as well as system level simulations. Both results suggest that the so-called “intercell interference coordination through limited feedback” scheme is a very good candidate for improving the cell-edge user throughput as well as the average cell throughput of the future wireless communication networks.

scholarly journals A Sector-Based Approach To Hybrid TDMA And NOMA With Digital Beamforming For Fairness Improvement In Wireless Powered Communication Networks

2021 ◽  
Author(s):  
Deukong Yoon ◽  
Mwamba Kasongo Dahouda ◽  
Juhyun Maeng ◽  
Inwhee Joe
Keyword(s):  
Communication Networks ◽  
Time Allocation ◽  
Multiple Access ◽  
Hybrid Approach ◽  
Residual Energy ◽  
Base Station ◽  
Sensor Nodes ◽  
Radio Waves ◽  
Digital Beamforming ◽  
Iot Devices

Abstract In recent years, Wireless Powered Communication Network (WPCN) has been a promising technology that can be applied to existing low-power sensor networks and the Internet of Things (IoT). Sensor nodes or IoT devices are usually battery-powered. It is possible to use naturally collectable energy such as solar and wind without using a battery, but this is not a stable supply of energy. Therefore, the idea of operating a sensor network by separately setting a base station that continuously supplies power with radio waves has been presented. ThMris paper proposes an approach for how to combine Non-Orthogonal Multiple Access (NOMA) and Time-Division Multiple Access (TDMA) among various multiple access protocols applicable to wireless powered communication networks. There are some problems using TDMA alone. If a time slot is allocated so that the sum-throughput is maximized, the fairness of nodes is not guaranteed. To cope with these shortcomings, NOMA, which is known as a method to improve fairness, is mixed. Our approach is that cells are divided into sectors so that TDMA is used among sectors while NOMA is used within sectors. In addition, optimization of the sector by sector time allocation for maximum sum-throughput can lead to residual energy in certain sectors. Therefore, a directional digital beamforming adapted to the transmission for each sector is used for efficient energy transmission. Unlike the previous user clustering, we attempt to generalize the number of nodes for NOMA from the fixed two nodes to any nodes by introducing the sector-based system model. The simulation results show that there is a trade-off between the sum-throughput and fairness because the sum-throughput increases but the fairness decreases as the number of sectors increases. As a result, we can suggest that a balanced range lies in between three and six sectors to satisfy both the sum-throughput and fairness at the same time. Finally, it is proven that our hybrid approach improves fairness significantly with the increasing number of nodes, as compared to the original TDMA only.

scholarly journals Outage Performance Analysis of Non-Orthogonal Multiple Access with Time-Switching Energy Harvesting

2019 ◽  
Vol 25 (3) ◽  
pp. 85-91
Author(s):  
Hoang Thien Van ◽  
Hoang-Sy Nguyen ◽  
Thanh-Sang Nguyen ◽  
Van Van Huynh ◽  
Thanh-Long Nguyen ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Communication Networks ◽  
Multiple Access ◽  
Transmission Rate ◽  
Wireless Communication Networks ◽  
Decode And Forward ◽  
Time Switching ◽  
Outage Performance ◽  
Half Duplex ◽  
The Given

In recent years, although non-orthogonal multiple access (NOMA) has shown its potentials thanks to its ability to enhance the performance of future wireless communication networks, a number of issues emerge related to the improvement of NOMA systems. In this work, we consider a half-duplex (HD) relaying cooperative NOMA network using decode-and-forward (DF) transmission mode with energy harvesting (EH) capacity, where we assume the NOMA destination (D) is able to receive two data symbols in two continuous time slots which leads to the higher transmission rate than traditional relaying networks. To analyse EH, we deploy time-switching (TS) architecture to comprehensively study the optimal transmission time and outage performance at D. In particular, we are going to obtain closed-form expressions for outage probability (OP) with optimal TS ratio for both data symbols with both exact and approximate forms. The given simulation results show that the placement of the relay (R) plays an important role in the system performance.

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